MACHINE-LEARNING FRAMEWORK FOR COORDINATING AND OPTIMIZING HEALTHCARE RESOURCE UTILIZATION AND DELIVERY OF HEALTHCARE SERVICES ACROSS AN INTEGRATED HEALTHCARE SYSTEM

1 . A system, comprising:

a memory that stores computer executable components; and

a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:

a task information extraction component that receives information identifying currently pending healthcare tasks for performance by healthcare workers of a healthcare system;

an activity monitoring component that monitors activity of the healthcare workers in association with operation of the healthcare system;

an availability analysis component that determines availability information regarding availability of respective healthcare workers of the healthcare workers to perform the currently pending tasks based on the activity information; and

a task optimization analysis component that determines a task assignment scheme that assigns one or more of the healthcare workers to the currently pending tasks in a manner that minimizes a total amount of delay between timing of origination of the currently pending tasks and timing of initiation of performance of the currently pending tasks based on the availability information.

2 . The system of claim 1 , wherein the task optimization analysis component further determines the task assignment scheme based on defined worker capability information for the respective healthcare workers and defined capability requirements of respective healthcare tasks of the currently pending tasks.

3 . The system of claim 2 , wherein the computer executable components further comprise:

a filtering component that identifies subsets of the healthcare workers capable of performing the respective healthcare tasks based on the defined worker capability information and the defined capability requirements, and wherein the task optimization analysis component restricts assignment of the one or more healthcare workers to the currently pending tasks based on the subsets.

4 . The system of claim 2 , wherein defined worker capability information identifies different types of healthcare tasks the respective healthcare workers are capable of performing.

5 . The system of claim 4 , wherein the defined worker capability information further comprises preference classifications for the different types of healthcare tasks representative of relative preference for performance of the different types of healthcare tasks by the respective healthcare workers, and wherein the task optimization analysis component further determines the task assignment scheme based on the preference classifications.

6 . The system of claim 5 , wherein the task optimization analysis component further determines the task assignment scheme using an optimization function that favors respective healthcare tasks of the currently pending healthcare tasks to primary healthcare workers of the healthcare workers that have a higher preference classification for the currently pending tasks relative to secondary healthcare workers of the healthcare workers that have a lower preference classification for the currently pending tasks based on respective types of the currently pending tasks.

7 . The system of claim 1 , wherein the availability information indicates durations of time until respective healthcare workers of the healthcare workers can initiate the performance of the currently pending tasks.

8 . The system of claim 7 , wherein the availability analysis component determines the durations of time based on locations of the respective healthcare workers and task locations of the respective tasks.

9 . The system of claim 1 , wherein the task optimization analysis component further determines the task assignment scheme based on priority information associated with respective tasks of the currently pending tasks that identifies priority levels of the respective tasks.

10 . The system of claim 1 , wherein the task optimization analysis component further evaluates costs associated with different task assignment schemes that assign the one or more healthcare workers to the currently pending tasks in different manners and selects the task assignment scheme based on the task assignment scheme minimizing the costs.

11 . The system of claim 1 , wherein the currently pending healthcare tasks involve provision of healthcare to a patient, and wherein the task optimization analysis component determines the task assignment scheme based on one or more preferences of the patient.

12 . The system of claim 1 , wherein the task optimization analysis component further determines the task assignment scheme using one or more machine learning task optimization models configured to infer optimal tasks for performance by the healthcare workers based on analysis of historical operations data regarding historical performance of various healthcare tasks by the healthcare workers under different operating conditions of the healthcare system.

13 . The system of claim 1 , wherein the computer executable components further comprise:

a task forecasting component that forecasts upcoming need of the respective healthcare workers in association with performance of future tasks of the healthcare system within a defined, upcoming timeframe, and wherein the task assignment component further determines the task assignment scheme based on the upcoming need.

14 . A method, comprising:

receiving, by a system operatively coupled to a processor, information identifying currently pending healthcare tasks for performance by healthcare workers of a healthcare system;

monitoring, by the system, activity of the healthcare workers in association with operation of the healthcare system;

determining, by the system, availability information regarding availability of respective healthcare workers of the healthcare workers to perform the currently pending tasks based on the activity information; and

determining, by the system, a task assignment scheme that assigns one or more of the healthcare workers to the currently pending tasks in a manner that minimizes a total amount of delay between timing of origination of the currently pending tasks and timing of initiation of performance of the currently pending tasks based on the availability information.

15 . The method of claim 14 , wherein the determining the task assignment scheme comprises determining the task assignment schemed based on defined worker capability information for the respective healthcare workers and defined capability requirements of respective healthcare tasks of the currently pending tasks.

16 . The method of claim 15 , further comprising:

identifying, by the system, subsets of the healthcare workers capable of performing the respective healthcare tasks based on the defined worker capability information and the defined capability requirements, and wherein the determining thetas assignment scheme comprises restricting assignment of the one or more healthcare workers to the currently pending tasks based on the subsets.

17 . The method of claim 14 , wherein the availability information indicates durations of time until respective healthcare workers of the healthcare workers can initiate the performance of the currently pending tasks and wherein the method further comprises:

determining, by the system, the durations of time based on locations of the respective healthcare workers and task locations of the respective tasks.

18 . The method of claim 14 , wherein the determining the task assignment scheme further comprises determining costs associated with different task assignment schemes that assign the one or more healthcare workers to the currently pending tasks in different manners and selects the task assignment scheme based on the task assignment scheme minimizing the costs.

19 . The method of claim 14 , wherein the determining the task assignment scheme further comprises determining the task assignment scheme using one or more machine learning task optimization models configured to infer optimal tasks for performance by the healthcare workers based on analysis of historical operations data regarding historical performance of various healthcare tasks by the healthcare workers under different operating conditions of the healthcare system.

20 . A machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:

receiving task information identifying currently pending healthcare tasks for performance by healthcare workers of a healthcare system;

monitoring, by the system, activity of the healthcare workers in association with operation of the healthcare system;

determining, by the system, availability information regarding availability of respective healthcare workers of the healthcare workers to perform the currently pending tasks based on the activity information; and

determining, by the system, a task assignment scheme that assigns one or more of the healthcare workers to the currently pending tasks in a manner that minimizes a total amount of delay between timing of origination of the currently pending tasks and timing of initiation of performance of the currently pending tasks based on the availability information.